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Microsoft DP-600 Exam Syllabus Topics:

SectionWeightObjectives
Design and manage the data model20-25%- Implement and configure a data model
  • 1. Configure SQL analytics endpoint
  • 2. Create and manage semantic models
  • 3. Use DirectLake mode for large datasets
  • 4. Implement row-level security (RLS)
- Design a data model
  • 1. Design a star or snowflake schema
  • 2. Choose appropriate data model type (lakehouse vs warehouse)
  • 3. Define relationships and hierarchies
  • 4. Implement dimension and fact tables
Deploy and maintain a data solution10-15%- Deploy data assets
  • 1. Implement CI/CD for Fabric items
  • 2. Automate deployments using APIs and scripts
  • 3. Use deployment pipelines for development to production
- Maintain a data solution
  • 1. Manage workspace and capacity settings
  • 2. Implement data refresh strategies
  • 3. Optimize query performance
Clean, transform, and enrich data25-30%- Transform data
  • 1. Implement data standardization and normalization
  • 2. Use Spark libraries for data transformation
  • 3. Perform schema evolution and mapping
  • 4. Use Dataflow Gen2 for transformations
- Enrich data
  • 1. Implement slowly changing dimensions (SCD)
  • 2. Merge and join data sources
  • 3. Implement incremental data loading
- Clean data
  • 1. Handle missing values and duplicates
  • 2. Apply data cleansing techniques
  • 3. Validate data quality using Data Quality Profiling
Load and prepare data20-25%- Create and configure items
  • 1. Create and configure Lakehouse, Warehouse, or data pipeline
  • 2. Configure data processing with notebooks
  • 3. Create and configurehortcuts
- Ingest data from source systems
  • 1. Ingest data using PySpark or Spark SQL
  • 2. Use Data Factory copy activity for batch ingestion
  • 3. Configure Data Gateway for hybrid scenarios
  • 4. Implement streaming data ingestion with Eventstream
  • 5. Use Data Factory data flow for transformation
Secure and monitor data solutions15-20%- Secure data solutions
  • 1. Use Microsoft Purview for data governance
  • 2. Implement column-level and row-level security
  • 3. Configure sensitive data classifications
  • 4. Configure workspace and item permissions
- Monitor data solutions
  • 1. Implement alerting and notifications
  • 2. Use OneLake monitoring capabilities
  • 3. Monitor pipeline and dataflow execution
  • 4. Review and analyze capacity metrics

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Microsoft Implementing Analytics Solutions Using Microsoft Fabric Sample Questions (Q14-Q19):

NEW QUESTION # 14
You have a Fabric tenant that contains a semantic model named Model1. Model1 uses Import mode. Model1 contains a table named Orders. Orders has 100 million rows and the following fields.

You need to reduce the memory used by Model! and the time it takes to refresh the model. Which two actions should you perform? Each correct answer presents part of the solution. NOTE: Each correct answer is worth one point.

Answer: A,B


NEW QUESTION # 15
You have a Fabric warehouse that contains two tables named DimDate and Trips.
DimDate contains the following fields.

Trips contains the following fields.

You need to compare the average miles per trip for statutory holidays versus non-statutory holidays.
How should you complete the T-SQL statement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:


NEW QUESTION # 16
You have a Fabric tenant that contains three users named User1, User2, and User3. The tenant contains a security group named Group 1. User1 and User3 are members of Group"1.
The tenant contains the workspaces shown in the following table.

The tenant contains the domains shown in the following table.

User1 creates a new workspace named Workspace3.
You assign Domain! as the default domain of Group1.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:


NEW QUESTION # 17
You have a Fabric tenant that contains a workspace named Workspace! Workspace1 uses the Pro license mode and contains a semantic model named Model1.
You have an Azure DevOps organization.
You need to enable version control for Workspace1. The solution must ensure that Model 1 is added to the repository.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Answer:

Explanation:

Explanation:

We need to enable version control for a Fabric workspace (Workspace1) and ensure that Model1 (a semantic model) is added to an Azure DevOps repository.
Key facts:
Workspace1 is in Pro mode. To enable Git integration, the workspace must be assigned to a Fabric capacity.
Git integration steps in Fabric:
Assign the workspace to a Fabric capacity.
Connect the workspace to a Git provider (e.g., Azure DevOps or GitHub).
Sync the workspace with the repository (to push artifacts like semantic models).
Branch policies and deployment pipelines are not needed for simply enabling version control.
Correct Sequence:
Assign Workspace1 to a Fabric capacity.
Connect Workspace1 to a Git provider.
Sync Workspace1 with the repository.
Final Answer:
Step 1 # Assign Workspace1 to a Fabric capacity
Step 2 # Connect Workspace1 to a Git provider
Step 3 # Sync Workspace1 with the repository
References:
Microsoft Fabric Git integration
Enable Git in Fabric workspace
This ensures Model1 will be version-controlled in the linked DevOps repository.


NEW QUESTION # 18
You are developing a complex semantic model that contains more than 20 date columns. You need to conform the date format for all the columns as quickly as possible. What should you use?

Answer: B


NEW QUESTION # 19
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